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Subject [CONF] Apache Lucene Mahout: Matrix and Vector Needs (page edited)
Date Fri, 22 Feb 2008 11:36:00 GMT
Matrix and Vector Needs (MAHOUT) edited by Grant Ingersoll


h1. Intro

We need some basic Matrix operations to start, and will definitely need more as we go.

h2. Background

See []

h2. Needs

We will more than likely need all the basic Matrix operations, plus some more advanced ones:

* Addition, Subtraction, Multiplication, Transpose, Inverse, Scaling

For ideas like PageRank/TextRank, iterative approaches that, essentially, calculate eigenvectors
are also useful.

Similarly, for vectors, things like dot/cross product will be useful

h2. Ideas

Use HBase (BigTable) in Hadoop to represent the Matrix.  Batching row/column operations can
be useful.

See [MAHOUT-6]

h2. References

Have a look at the old parallel computing libraries like [ScalaPACK|],

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